IDEAS home Printed from https://ideas.repec.org/a/bla/ajarec/v56y2012i3p405-425.html
   My bibliography  Save this article

U.S. demand for organic and conventional vegetables: a Bayesian censored system approach

Author

Listed:
  • Panagiotis Kasteridis
  • Steven T. Yen

Abstract

No abstract is available for this item.

Suggested Citation

  • Panagiotis Kasteridis & Steven T. Yen, 2012. "U.S. demand for organic and conventional vegetables: a Bayesian censored system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 405-425, July.
    • Handle: RePEc:bla:ajarec:v:56:y:2012:i:3:p:405-425
    DOI: j.1467-8489.2012.00589.x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-8489.2012.00589.x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/j.1467-8489.2012.00589.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. H., Sujaya & Aithal, Sreeramana, 2020. "Shedding Insight on Sustainable Food Consumption: A Case Study on Customer Perceptible Behaviour towards Organic Products," MPRA Paper 104008, University Library of Munich, Germany.
    2. Tan, Andrew K. G. & Yen, Steven T. & Hasan, Abdul Rahman & Muhamed, Kamarudin, 2014. "Household Expenditures on Vegetables in Malaysia," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(4), pages 1-19, November.
    3. Akerele, Dare & Tiffin, R. & Srinivasan, C. S., 2013. "Household Food Demand in Nigeria: an Application of Multivariate Double-hurdle Model," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158700, Agricultural Economics Society.
    4. Erik Nelson & John Fitzgerald & Nathan Tefft, 2019. "The distributional impact of a green payment policy for organic fruit," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-25, February.
    5. Ferrier, Peyton M. & Zhen, Chen, 2017. "The Role of Income in Explaining the Shift from Preserved to Fresh Vegetable Purchases," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(3), September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:ajarec:v:56:y:2012:i:3:p:405-425. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.